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################# Full Reviewpy-multihash Implementation Status ReportAnalysis Date: 2025-01-27 Executive SummaryThis report compares the current py-multihash implementation against the feature comparison table from GitHub discussion #1061. The analysis reveals that many features previously marked as "NOT SUPPORTED" have since been implemented, significantly closing the gap with other implementations (Go, Rust, JavaScript). Key Findings
Detailed Feature Comparison1. Core Operations
Status: ✅ Fully Implemented 2. Hash Computation
Status: ✅ Fully Implemented (Previously marked as NOT SUPPORTED in discussion) Implementation Details:
3. String Encoding
Status: ✅ Fully Implemented 4. Data Structures
Status: ✅ Fully Implemented (MultihashSet was previously marked as NOT SUPPORTED) MultihashSet Features:
5. Extensibility
Status: ✅ Fully Implemented (Previously marked as NOT SUPPORTED) Implementation Details:
6. Advanced Features
Status: Truncation Implementation:
7. Error Handling
Status: ✅ Fully Implemented (Previously marked as basic ValueError/TypeError) Exception Hierarchy:
8. Streaming I/O
Status: Notes:
9. Serialization
Status: ✅ JSON Implemented (Not mentioned in original discussion) JSON Implementation:
10. Hash Function Support
Status: Functions in Func Enum (Computable):
Functions in Constants but NOT in Func Enum (Not Computable):
Gap Analysis:
11. Type Safety Features
Status: ❌ Language Limitation (Python doesn't support compile-time type checking like Rust/TypeScript) Current Type Safety:
12. Language-Specific Features
Status: ❌ Not Implemented (Async could be added but currently not present) Notes:
Summary Table
Major Improvements Since Discussion
Remaining GapsMissing Features (Compared to Other Implementations)
RecommendationsHigh Priority
Medium Priority
Low Priority
ConclusionThe py-multihash implementation has significantly improved since the original discussion. Most features previously marked as "NOT SUPPORTED" have been implemented, bringing it much closer to feature parity with Go, Rust, and JavaScript implementations. Key Achievements:
Remaining Work:
The implementation is now production-ready and provides most features needed for multihash operations in Python. |
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Multihash Implementation Comparison
Executive Summary
This document provides a comprehensive comparison between the Python
py-multihashimplementation and equivalent implementations in Go, Rust, and JavaScript. The analysis identifies feature gaps, API differences, and areas where the Python implementation could be enhanced to achieve feature parity with other implementations.Key Findings:
Feature Comparison Table
encode()Encode(),EncodeName()Multihash::wrap()Digest.create()decode()Decode(),Cast()Multihash::from_bytes()Digest.decode()is_valid()Cast()from_bytes()(validates)decode()(validates)Sum(),SumStream()Hasher.digest()SumStream()io::Readdigest()RegisterVariableSize()to_hex_string(),from_hex_string()HexString(),FromHexString()to_b58_string(),from_b58_string()B58String(),FromB58String()Multihash(namedtuple)Multihash([]byte),DecodedMultihashMultihash<const S>MultihashDigest<Code>SettypeRegister(),RegisterVariableSize()Hasher.from()GetHasher()serdefeaturescale-codecfeatureSum()length paramtruncate()methodtruncateoptionresize()methodget_prefix()is_valid_code(),coerce_code()Names,Codesmapsis_app_code()ErrInconsistentLen, etc.ErrorenumReader.ReadMultihash()Multihash::read()Writer.WriteMultihash()Multihash::write()API Comparison
Core Encoding/Decoding
Python
Go
Rust
JavaScript
Hash Computation
Python
Go
Rust
JavaScript
String Encoding
Python
Go
Rust
// Not built-in - use external crates for base encodingJavaScript
// Not built-in - use multibase for encodingValidation and Utilities
Python
Go
Rust
JavaScript
Hash Function Support
Python (py-multihash)
Status: Constants defined, but no actual hash computation
The Python implementation defines hash codes in
constants.pybut does not provide hash computation. Users must use external libraries likehashliband then encode the result.Defined Hash Functions:
Go (go-multihash)
Status: Full hash computation support with extensible registry
Pre-registered Hash Functions:
Extensibility: Can register custom hashers via
Register()orRegisterVariableSize()Rust (rust-multihash)
Status: Core crate is hash-agnostic; codetable crate provides implementations
Core Crate: Only defines data structure, no hash computation
Codetable Crate (via features):
sha1)sha2)sha3)sha3)blake2b)blake2s)blake3)strobe)ripemd)Extensibility: Can define custom code tables via
multihash-derivemacroJavaScript (js-multiformats)
Status: Provides hasher implementations with sync/async support
Implemented Hashers:
Extensibility: Can create custom hashers via
Hasher.from()factoryMissing Hash Functions in Python
The following hash functions are supported in other implementations but missing from Python's constants table:
Missing from Go Implementation
0xd50x10130x200x10140x10150x1e0x10120x11000xb401Missing from Rust Implementation
0x1053ripemd)0x1054ripemd)0x1055ripemd)0x3312e7strobe)0x3312e8strobe)Summary
Total missing hash functions: 14
By category:
Note: Python has some hash functions that others don't include by default:
0xb301-0xb3e0) - Available in Python but not in Go/Rust standard implementationsGap Analysis
Summary of Missing Features in py-multihash
The following features are available in other implementations but missing in Python:
Sum())SumStream())Critical Gaps in py-multihash
1. No Hash Computation
Impact: High - Users must manually compute hashes using external libraries
Missing:
Sum()equivalent to compute hashes directlySumStream()for streaming hash computationhashlibor other hash librariesWorkaround:
Recommendation: Add
sum()andsum_stream()functions that integrate withhashliband other common Python hash libraries.2. No Extensibility Mechanism
Impact: Medium - Cannot register custom hash functions
Missing:
Register()equivalent to add custom hashersGetHasher()to retrieve hasher by codeRecommendation: Add a registry system similar to Go's implementation, allowing users to register custom hash functions.
3. No Streaming Support
Impact: Medium - Cannot efficiently hash large files/streams
Missing:
SumStream()for hashing from file-like objectsRecommendation: Add
sum_stream()that accepts file-like objects and uses incremental hashing.4. Limited Data Structures
Impact: Low - Missing utility collections
Missing:
Settype for multihash collections (like Go)Recommendation: Add optional
MultihashSetclass for managing collections of multihashes.5. No Truncation Support
Impact: Low - Cannot truncate digests during encoding
Missing:
encode()or separate truncate functionRecommendation: Add
truncate()method or truncate parameter toencode().6. No Serialization Support
Impact: Low - Cannot serialize multihashes to JSON/other formats
Missing:
Recommendation: Add optional serialization support using standard Python serialization libraries.
Minor Gaps
7. No Type Safety
8. Limited Error Types
ValueErrorandTypeError9. No Async Support
Recommendations
Priority 1: Critical Features
Add Hash Computation
sum(data, code, length=-1)functionhashlibstandard libraryAdd Streaming Support
sum_stream(stream, code, length=-1)functionPriority 2: Important Features
Add Extensibility
register(code, hasher_factory)functionget_hasher(code)functionAdd Truncation Support
truncate()method or parameterPriority 3: Nice-to-Have Features
Add Utility Collections
MultihashSetclassImprove Error Handling
Add Type Hints
typingmodule for generic typesAdd Serialization Support
Implementation Examples
Example: Adding Hash Computation
Example: Adding Streaming Support
Conclusion
The Python
py-multihashimplementation provides solid foundational functionality for encoding and decoding multihashes, but lacks several key features present in other implementations:By implementing the Priority 1 and Priority 2 recommendations,
py-multihashwould achieve feature parity with the Go implementation for most use cases. The Priority 3 features would bring it closer to the Rust and JavaScript implementations in terms of developer experience and type safety.The current implementation is well-suited for applications that already compute hashes externally and only need multihash encoding/decoding. However, adding hash computation capabilities would make it a more complete and user-friendly library.
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